我知道这个问题以前有人问过，但是我已经尝试实现了我找到的所有解决方案，但是仍然没有解决这个问题。
这是我的密码
import csv
import pandas as pd
import helperFunctions import pandas tickers = []
f = open("watchlist.txt", "r") for i in f:
tickers.append((helperFunctions.getTicker(i)))
head = ["Name", "Growth", "Recommendation", "Earnings Growth", "Current Ratio",
"Total Cash", "Debt", " Revenue", "Percentage Shares Out", "Percentage Institutions", "Percentage Insiders",
"Price to Book", "Short Ratio", "Regular Market Price"] df = pd.DataFrame() df = pd.DataFrame(columns=head) try:
for i in tickers:
currentTicker = []
currentTicker.append(i.info['longName'])
currentTicker.append(i.info['revenueGrowth'])
currentTicker.append(i.info['recommendationKey'])
currentTicker.append(i.info['earningsGrowth'])
currentTicker.append(i.info['currentRatio'])
currentTicker.append(i.info['totalCash'])
currentTicker.append(i.info['totalDebt'])
currentTicker.append(i.info['totalRevenue'])
currentTicker.append(i.info['sharesPercentSharesOut'])
currentTicker.append(i.info['heldPercentInstitutions'])
currentTicker.append(i.info['heldPercentInsiders'])
currentTicker.append(i.info['priceToBook'])
currentTicker.append(i.info['shortRatio'])
currentTicker.append(i.info['beta'])
currentTicker.append(i.info['regularMarketPrice'])
print(str(currentTicker + "\n"))
'''
# Why Don't these work??
1.
df.append(currentTicker)
2.
df_length = len(df)
df.loc[df_length] = currentTicker
3.
a_series = pd.Series(currentTicker, index=df.columns)
df = df.append(a_series, ignore_index=True)
'''
except Exception as e:
print(str(i) + repr(e))
print(df)
在列表中看到注释的部分中，这些都是我试图将每次迭代添加到数据框架中的内容。基本上，监视列表是一个带有一些标记的TXT文件，我想获取这些数据并将其放入一个数据帧中，我遇到了一些麻烦。谢谢你抽出时间。
我就是这样解决的
import csv
import pandas as pd
import helperFunctions
import pandas
tickers = []
f = open("watchlist.txt", "r")
for i in f:
tickers.append((helperFunctions.getTicker(i)))
head = ["Name", "Growth", "Recommendation", "Earnings Growth", "Current Ratio",
"Total Cash", "Debt", "Revenue", "Percentage Shares Out", "Percentage Institutions", "Percentage Insiders",
"Price to Book", "Short Ratio", "Regular Market Price"]
df = pd.DataFrame(columns=head)
try:
for i in tickers:
currentTicker = []
currentTicker.append(i.info['longName'])
currentTicker.append(i.info['revenueGrowth'])
currentTicker.append(i.info['recommendationKey'])
currentTicker.append(i.info['earningsGrowth'])
currentTicker.append(i.info['currentRatio'])
currentTicker.append(i.info['totalCash'])
currentTicker.append(i.info['totalDebt'])
currentTicker.append(i.info['totalRevenue'])
currentTicker.append(i.info['sharesPercentSharesOut'])
currentTicker.append(i.info['heldPercentInstitutions'])
currentTicker.append(i.info['heldPercentInsiders'])
currentTicker.append(i.info['priceToBook'])
currentTicker.append(i.info['shortRatio'])
currentTicker.append(i.info['beta'])
currentTicker.append(i.info['regularMarketPrice'])
df = df.append({'Name': currentTicker[0],
'Growth': currentTicker[1],
"Recommendation":currentTicker[2],
"Earnings Growth":currentTicker[3],
"Current Ratio": currentTicker[4],
"Total Cash":currentTicker[5],
"Debt": currentTicker[6],
"Revenue": currentTicker[7],
"Percentage Shares Out": currentTicker[8],
"Percentage Institutions": currentTicker[9],
"Percentage Insiders": currentTicker[10],
"Price to Book": currentTicker[11],
"Short Ratio": currentTicker[12],
"Regular Market Price": currentTicker[13],
},
ignore_index=True)
#print(currentTicker)
except Exception as e:
print(str(i) + repr(e))
print(df)
代码中的问题似乎与以下事实有关：currentTicker列表有一个额外的列，即beta，它不存在于df的列中。
将该列添加到标题或将其从currentTicker中删除后，方法2和3将起作用。
import csv
import pandas as pd
import helperFunctions
with open("watchlist.txt", "r") as f:
tickers = [helperFunctions.getTicker(i) for i in f]
head = [
"Name",
"Growth",
"Recommendation",
"Earnings Growth",
"Current Ratio",
"Total Cash",
"Debt",
"Revenue",
"Percentage Shares Out",
"Percentage Institutions",
"Percentage Insiders",
"Price to Book",
"Short Ratio",
"Regular Market Price"
]
df = pd.DataFrame(columns=head)
columns_to_extract = [
'longName',
'revenueGrowth',
'recommendationKey',
'earningsGrowth',
'currentRatio',
'totalCash',
'totalDebt',
'totalRevenue',
'sharesPercentSharesOut',
'heldPercentInstitutions',
'heldPercentInsiders',
'priceToBook',
'shortRatio',
# 'beta', # <- The column for this value is missing from `head`
'regularMarketPrice'
]
currentTicker = [i.info[key] for key in columns_to_extract]
# 1. Method - THIS DOES NOT WORK
# df.append(currentTicker)
# 2. Method
df_length = len(df)
df.loc[df_length] = currentTicker
# 3. Method
a_series = pd.Series(currentTicker, index=df.columns)
df = df.append(a_series, ignore_index=True)
print(df)
