爲什麼我收到此程序的「ValueError」消息？

-1

編輯（2017年3月12日[9:11 CST]） - 所以我能夠確定爲什麼數字是235 - 235是指定進入數組的字符串中的字符總數，至少溫度一。所以現在，我的問題是找出爲什麼要計數字符而不是字符串的總數。爲什麼我收到此程序的「ValueError」消息？

我寫信，從天氣地下拉實時數據，其分類成數組，然後將最終輸出一個完整的圖形和文本報告的程序。

目前，我無法將數據轉換爲可以使用matplotlib模塊製作圖形的格式。完整的代碼和它的模塊「計算」在這篇文章的底部。

錯誤消息如下：

Traceback (most recent call last): 
    File "C:/Users/Ryan/PycharmProjects/NWS/weather_data.py", line 254, in <module> 
    temperatures_array = np.array(temp).reshape(10, 2) 
ValueError: cannot reshape array of size 235 into shape (10,2)

我不明白爲什麼我收到此錯誤，因爲數組的大小應該是20，而不是235.如果有人能指出我是什麼做錯了，我會如何從這裏出發，我將不勝感激。

重要說明::除非您生成自己的Weather Underground API密鑰，否則不要嘗試運行此操作。沒有它，它就無法工作。在https://www.wunderground.com/weather/api/

代碼一鍵搞定：

import numpy as np 
from calculations import * 
import time as t 
import matplotlib.pyplot as plt 

plt.style.use("classic") 


Juneau = {"temperature": None, "feelslike": None, "windspeed": None, "windgustspeed": None, "winddirection": None, 
      "pressure": None, "humidity": None} 

Denver = {"temperature": None, "feelslike": None, "windspeed": None, "windgustspeed": None, "winddirection": None, 
      "pressure": None, "humidity": None} 

Atlanta = {"temperature": None, "feelslike": None, "windspeed": None, "windgustspeed": None, "winddirection": None, 
      "pressure": None, "humidity": None} 

Honolulu = {"temperature": None, "feelslike": None, "windspeed": None, "windgustspeed": None, "winddirection": None, 
      "pressure": None, "humidity": None} 

Springfield = {"temperature": None, "feelslike": None, "windspeed": None, "windgustspeed": None, 
       "winddirection": None, "pressure": None, "humidity": None} 

OklahomaCity = {"temperature": None, "feelslike": None, "windspeed": None, "windgustspeed": None, 
       "winddirection": None, "pressure": None, "humidity": None} 

Austin = {"temperature": None, "feelslike": None, "windspeed": None, "windgustspeed": None, "winddirection": None, 
      "pressure": None, "humidity": None} 

Montpelier = {"temperature": None, "feelslike": None, "windspeed": None, "windgustspeed": None, 
       "winddirection": None, "pressure": None, "humidity": None} 

Richmond = {"temperature": None, "feelslike": None, "windspeed": None, "windgustspeed": None, "winddirection": None, 
      "pressure": None, "humidity": None} 

Olympia = {"temperature": None, "feelslike": None, "windspeed": None, "windgustspeed": None, "winddirection": None, 
      "pressure": None, "humidity": None} 

J = Juneau 
D = Denver 
AT = Atlanta 
H = Honolulu 
S = Springfield 
OC = OklahomaCity 
AU = Austin 
M = Montpelier 
R = Richmond 
OL = Olympia 

# Data Setting for Juneau 
v1, v2, v3, v4, v5, v6, v7 = get_data("Alaska", "Juneau") 
J["temperature"] = v1 
J["feelslike"] = v2 
J["windspeed"] = v3 
J["windgustspeed"] = v4 
J["winddirection"] = v5 
J["pressure"] = v6 
J["humidity"] = v7 
print("\nJuneau Data:", J) 

# Data Setting for Denver 
v1, v2, v3, v4, v5, v6, v7 = get_data("Colorado", "Denver") 
D["temperature"] = v1 
D["feelslike"] = v2 
D["windspeed"] = v3 
D["windgustspeed"] = v4 
D["winddirection"] = v5 
D["pressure"] = v6 
D["humidity"] = v7 
print("\nDenver Data:", D) 

# Data Setting for Atlanta 
v1, v2, v3, v4, v5, v6, v7 = get_data("Georgia", "Atlanta") 
AT["temperature"] = v1 
AT["feelslike"] = v2 
AT["windspeed"] = v3 
AT["windgustspeed"] = v4 
AT["winddirection"] = v5 
AT["pressure"] = v6 
AT["humidity"] = v7 
print("\nAtlanta Data:", AT) 

# Data Setting for Honolulu 
v1, v2, v3, v4, v5, v6, v7 = get_data("Hawaii", "Honolulu") 
H["temperature"] = v1 
H["feelslike"] = v2 
H["windspeed"] = v3 
H["windgustspeed"] = v4 
H["winddirection"] = v5 
H["pressure"] = v6 
H["humidity"] = v7 
print("\nHonolulu Data:", H) 

# Data Setting for Springfield 
v1, v2, v3, v4, v5, v6, v7 = get_data("Illinois", "Springfield") 
S["temperature"] = v1 
S["feelslike"] = v2 
S["windspeed"] = v3 
S["windgustspeed"] = v4 
S["winddirection"] = v5 
S["pressure"] = v6 
S["humidity"] = v7 
print("\nSpringfield Data:", S) 

# Data Setting for Oklahoma City 
v1, v2, v3, v4, v5, v6, v7 = get_data("Oklahoma", "Oklahoma_City") 
OC["temperature"] = v1 
OC["feelslike"] = v2 
OC["windspeed"] = v3 
OC["windgustspeed"] = v4 
OC["winddirection"] = v5 
OC["pressure"] = v6 
OC["humidity"] = v7 
print("\nOklahoma City Data:", OC) 

# Data Setting for Austin 
v1, v2, v3, v4, v5, v6, v7 = get_data("Texas", "Austin") 
AU["temperature"] = v1 
AU["feelslike"] = v2 
AU["windspeed"] = v3 
AU["windgustspeed"] = v4 
AU["winddirection"] = v5 
AU["pressure"] = v6 
AU["humidity"] = v7 
print("\nAustin Data:", AU) 

# Data Setting for Montpelier 
v1, v2, v3, v4, v5, v6, v7 = get_data("Vermont", "Montpelier") 
M["temperature"] = v1 
M["feelslike"] = v2 
M["windspeed"] = v3 
M["windgustspeed"] = v4 
M["winddirection"] = v5 
M["pressure"] = v6 
M["humidity"] = v7 
print("\nMontpelier Data:", M) 

# Data Setting for Richmond 
v1, v2, v3, v4, v5, v6, v7 = get_data("Virginia", "Richmond") 
R["temperature"] = v1 
R["feelslike"] = v2 
R["windspeed"] = v3 
R["windgustspeed"] = v4 
R["winddirection"] = v5 
R["pressure"] = v6 
R["humidity"] = v7 
print("\nRichmond Data:", R) 

# Data Setting for Olympia 
v1, v2, v3, v4, v5, v6, v7 = get_data("Washington", "Olympia") 
OL["temperature"] = v1 
OL["feelslike"] = v2 
OL["windspeed"] = v3 
OL["windgustspeed"] = v4 
OL["winddirection"] = v5 
OL["pressure"] = v6 
OL["humidity"] = v7 
print("\nOlympia Data:", OL) 

temperatures = [] 
temperatures.extend([str(AU["temperature"]) + " F"]) 
temperatures.extend([str(H["temperature"]) + " F"]) 
temperatures.extend([str(M["temperature"]) + " F"]) 
temperatures.extend([str(R["temperature"]) + " F"]) 
temperatures.extend([str(OL["temperature"]) + " F"]) 
temperatures.extend([str(J["temperature"]) + " F"]) 
temperatures.extend([str(AT["temperature"]) + " F"]) 
temperatures.extend([str(S["temperature"]) + " F"]) 
temperatures.extend([str(D["temperature"]) + " F"]) 
temperatures.extend([str(OC["temperature"]) + " F"]) 

feelslike = [] 
feelslike.extend([str(AU["feelslike"]) + " F"]) 
feelslike.extend([str(H["feelslike"]) + " F"]) 
feelslike.extend([str(M["feelslike"]) + " F"]) 
feelslike.extend([str(R["feelslike"]) + " F"]) 
feelslike.extend([str(OL["feelslike"]) + " F"]) 
feelslike.extend([str(J["feelslike"]) + " F"]) 
feelslike.extend([str(AT["feelslike"]) + " F"]) 
feelslike.extend([str(S["feelslike"]) + " F"]) 
feelslike.extend([str(D["feelslike"]) + " F"]) 
feelslike.extend([str(OC["feelslike"]) + " F"]) 

windspeed = [] 
windspeed.extend([str(AU["windspeed"]) + " MPH"]) 
windspeed.extend([str(H["windspeed"]) + " MPH"]) 
windspeed.extend([str(M["windspeed"]) + " MPH"]) 
windspeed.extend([str(R["windspeed"]) + " MPH"]) 
windspeed.extend([str(OL["windspeed"]) + " MPH"]) 
windspeed.extend([str(J["windspeed"]) + " MPH"]) 
windspeed.extend([str(AT["windspeed"]) + " MPH"]) 
windspeed.extend([str(S["windspeed"]) + " MPH"]) 
windspeed.extend([str(D["windspeed"]) + " MPH"]) 
windspeed.extend([str(OC["windspeed"]) + " MPH"]) 

windgustspeed = [] 
windgustspeed.extend([str(AU["windgustspeed"]) + " MPH"]) 
windgustspeed.extend([str(H["windgustspeed"]) + " MPH"]) 
windgustspeed.extend([str(M["windgustspeed"]) + " MPH"]) 
windgustspeed.extend([str(R["windgustspeed"]) + " MPH"]) 
windgustspeed.extend([str(OL["windgustspeed"]) + " MPH"]) 
windgustspeed.extend([str(J["windgustspeed"]) + " MPH"]) 
windgustspeed.extend([str(AT["windgustspeed"]) + " MPH"]) 
windgustspeed.extend([str(S["windgustspeed"]) + " MPH"]) 
windgustspeed.extend([str(D["windgustspeed"]) + " MPH"]) 
windgustspeed.extend([str(OC["windgustspeed"]) + " MPH"]) 

winddirection = [] 
winddirection.extend([AU["winddirection"]]) 
winddirection.extend([H["winddirection"]]) 
winddirection.extend([M["winddirection"]]) 
winddirection.extend([R["winddirection"]]) 
winddirection.extend([OL["winddirection"]]) 
winddirection.extend([J["winddirection"]]) 
winddirection.extend([AT["winddirection"]]) 
winddirection.extend([S["winddirection"]]) 
winddirection.extend([D["winddirection"]]) 
winddirection.extend([OC["winddirection"]]) 

pressure = [] 
pressure.extend([str(AU["pressure"]) + " in"]) 
pressure.extend([str(H["pressure"]) + " in"]) 
pressure.extend([str(M["pressure"]) + " in"]) 
pressure.extend([str(R["pressure"]) + " in"]) 
pressure.extend([str(OL["pressure"]) + " in"]) 
pressure.extend([str(J["pressure"]) + " in"]) 
pressure.extend([str(AT["pressure"]) + " in"]) 
pressure.extend([str(S["pressure"]) + " in"]) 
pressure.extend([str(D["pressure"]) + " in"]) 
pressure.extend([str(OC["pressure"]) + " in"]) 

humidity = [] 
humidity.extend([AU["humidity"]]) 
humidity.extend([H["humidity"]]) 
humidity.extend([M["humidity"]]) 
humidity.extend([R["humidity"]]) 
humidity.extend([OL["humidity"]]) 
humidity.extend([J["humidity"]]) 
humidity.extend([AT["humidity"]]) 
humidity.extend([S["humidity"]]) 
humidity.extend([D["humidity"]]) 
humidity.extend([OC["humidity"]]) 

areas = ["Austin, Texas", "Honolulu, Hawaii", "Montpelier, Vermont", "Richmond, Virginia", "Olympia, Washington", "Juneau, Alaska", "Atlanta, Georgia", "Springfield, Illinois", "Denver, Colorado", "Oklahoma City, Oklahoma"] 

temp = [] 
x = 10 
y = 0 
while x > 0: 
    temp.extend(areas[y]) 
    temp.extend(temperatures[y]) 
    y += 1 
    x -= 1 
temperatures_array = np.array(temp).reshape(10, 2) 
print("\nTemperatures:") 
print(temperatures_array) 

temp = [] 
x = 10 
y = 0 
while x > 0: 
    temp.extend(areas[y]) 
    temp.extend(feelslike[y]) 
    y += 1 
    x -= 1 
feelslike_array = np.array(temp).reshape(10, 2) 
print("\nFeels Like Temperatures:") 
print(feelslike_array) 

temp = [] 
x = 10 
y = 0 
while x > 0: 
    temp.extend(areas[y]) 
    temp.extend(windspeed[y]) 
    y += 1 
    x -= 1 
windspeed_array = np.array(temp).reshape(10, 2) 
print("\nWind Speeds:") 
print(windspeed_array) 

temp = [] 
x = 10 
y = 0 
while x > 0: 
    temp.extend(areas[y]) 
    temp.extend(windgustspeed[y]) 
    y += 1 
    x -= 1 
windgustspeed_array = np.array(temp).reshape(10, 2) 
print("\nWind Gust Speeds:") 
print(windgustspeed_array) 

temp = [] 
x = 10 
y = 0 
while x > 0: 
    temp.extend(areas[y]) 
    temp.extend(winddirection[y]) 
    y += 1 
    x -= 1 
winddirection_array = np.array(temp).reshape(10, 2) 
print("\nWind Directions:") 
print(winddirection_array) 

temp = [] 
x = 10 
y = 0 
while x > 0: 
    temp.extend(areas[y]) 
    temp.extend(pressure[y]) 
    y += 1 
    x -= 1 
pressure_array = np.array(temp).reshape(10, 2) 
print("\nPressures:") 
print(pressure_array) 

temp = [] 
x = 10 
y = 0 
while x > 0: 
    temp.extend(areas[y]) 
    temp.extend(humidity[y]) 
    y += 1 
    x -= 1 
humidity_array = np.array(temp).reshape(10, 2) 
print("\nHumidities:") 
print(humidity_array) 

time = [] 
time.extend(t.gmtime()) 
filename = ("Report" + "_" + str(time[0]) + "_" + str(time[1]) + "_" + str(time[2]) + "_" + str(time[3]) + "_" + str(time[4]) + "_" + str(time[5])) 

openfile = open(filename, "a") 

openfile.write("Temperatures:") 
openfile.write("\n") 
openfile.write(str(temperatures_array)) 
openfile.write("\n") 
openfile.write("\nFeels Like Temperatures:") 
openfile.write("\n") 
openfile.write(str(feelslike_array)) 
openfile.write("\n") 
openfile.write("\nWind Speeds:") 
openfile.write("\n") 
openfile.write(str(windspeed_array)) 
openfile.write("\n") 
openfile.write("\nWind Gust Speeds:") 
openfile.write("\n") 
openfile.write(str(windgustspeed_array)) 
openfile.write("\n") 
openfile.write("\nWind Directions:") 
openfile.write("\n") 
openfile.write(str(winddirection_array)) 
openfile.write("\n") 
openfile.write("\nPressures:") 
openfile.write("\n") 
openfile.write(str(pressure_array)) 
openfile.write("\n") 
openfile.write("\nHumidities:") 
openfile.write("\n") 
openfile.write(str(humidity_array)) 

openfile.close() 

figure = plt.hist(temperatures_array, color="steelblue") 
figure.savefig("temperature_graph.png") 

figure = plt.hist(feelslike_array, color="steelblue") 
figure.savefig("temperature_graph.png") 

figure = plt.hist(windspeed_array, color="steelblue") 
figure.savefig("temperature_graph.png") 

figure = plt.hist(windgustspeed_array, color="steelblue") 
figure.savefig("temperature_graph.png") 

figure = plt.hist(pressure_array, color="steelblue") 
figure.savefig("temperature_graph.png") 

figure = plt.hist(humidity_array, color="steelblue") 
figure.savefig("temperature_graph.png") 

input("\nPress enter to exit.")

模塊「計算」：

import urllib3 
import json 


def get_data(state, city): 
    wukey = [REDACTED FOR SAFETY] 
    url = "http://api.wunderground.com/api/{}/conditions/forecast/q/{}/{}.json".format(wukey, state, city) 
    http = urllib3.PoolManager() 

    response = http.request('GET', url) 
    json_string = response.data.decode('utf8') 
    parsed_json = json.loads(json_string) 
    temp = float(parsed_json['current_observation']['temp_f']) 
    feelslike = float(parsed_json['current_observation']['feelslike_f']) 
    windspeed = float(parsed_json['current_observation']['wind_mph']) 
    windgust = float(parsed_json['current_observation']['wind_gust_mph']) 
    winddir = str(parsed_json['current_observation']['wind_dir']) 
    pressure = float(parsed_json['current_observation']['pressure_in']) 
    humidity = str(parsed_json['current_observation']['relative_humidity']) 

    response.close() 
    return temp, feelslike, windspeed, windgust, winddir, pressure, humidity

謝謝你在前進的人誰可以幫助！

來源

2017-03-12 Ryan Witek

此問題似乎是您在while循環中使用extend而不是append。

我沒有跑所有的代碼，但我敢肯定你的問題是從while循環來：如果你打印出什麼溫度看起來像在while循環的每次迭代

while x > 0: 
    temp.extend(areas[y]) 
    temp.extend(temperatures[y]) 
    y += 1 
    x -= 1

，你會看到extend是分裂每個字符串轉換成字符列表（如extend是爲了工作 - 這是合併一個列表到另一個）：

['A', 'u', 's', 't', 'i', 'n', ',', ' ', 'T', 'e', 'x', 'a', 's', '1', '2', '3', '4', ' ', 'F'] 

['A', 'u', 's', 't', 'i', 'n', ',', ' ', 'T', 'e', 'x', 'a', 's', '1', '2', '3', '4', ' ', 'F', 'H', 'o', 'n', 'o', 'l', 'u', 'l', 'u', ',', ' ', 'H', 'a', 'w', 'a', 'i', 'i', '1', '2', '3', '4', ' ', 'F'] 

... and so on, until you have 235 elements.

你的代碼應該是這樣的while循環：

while x > 0: 
    temp.append(areas[y]) 
    temp.append(temperatures[y]) 
    y += 1 
    x -= 1

Ideone再次爲我工作。下面的代碼片段我做看到的結果：https://ideone.com/zGqxiK

由於小記：

您可以通過使用for循環而不是while循環使事情更容易堅持到底：

temp = [] 
for i in range(len(areas)): 
    # append the area, then the temperature 
    temp.append(areas[i]) 
    temp.append(temperatures[i])

雖然我不確定在這裏注意到它們是否偏離原始帖子太多（或者應該保留給另一個StackExchange站點或帖子），但您可以對代碼進行一些輕微優化。

來源

2017-03-13 02:34:36

非常感謝您的幫助 - 它似乎有效！ –

沒問題。你想要一個區域/溫度代碼片段的優化版本嗎？另外，如果我的解決方案解決了您的問題，請將其標記爲答案。這樣，任何查看此問題的人都可以輕鬆指出解決方案。 –

爲什麼我收到此程序的「ValueError」消息？

回答

相關問題