Question

如何删除

＆＃34; IndexError：列表索引超出范围＆＃34;错误

import yaml
import pandas as pd
import numpy as np
import glob

'''Get All the file_names into List'''

all_files=glob.glob('D:\\Dbda\\Project\\Data_Cleaning\\Test_Data\\*.yaml')
file_count=0
all_stats_list=[]
all_score_list=[]

'''Get Only Statistics Data into Stat DataFrame'''

for file_name in all_files:
    with open(file_name, 'r') as f:
        file_count += 1
        print(file_count)
        df_stats = pd.io.json.json_normalize(yaml.load(f))
        all_stats_list.append(df_stats)
        print(all_stats_list)

df_all_stats=pd.concat(all_stats_list)
df_all_stats=df_all_stats[df_all_stats.columns.difference(['innings'])]
df_all_stats.drop(columns=['meta.created','meta.data_version','meta.revision'],inplace=True)
'''df_all_stats.columns=['city', 'date', 'gender', 'match_type',
       'outcome.by.runs', 'outcome.winner', 'overs',
       'player_of_match', 'teams', 'decision',
       'winner', 'umpires', 'venue']
'''
df_all_stats.to_csv('final1.0Stats.csv')


'''Get only Innings_Score Data into Innings_Score Dataframe'''
file_count=0
for file_name in all_files:
    file_count += 1
    print(file_count)
    d = yaml.load(open(file_name))
    for i in d['innings']:
        df_scores = pd.DataFrame(i[list(i.keys())[0]])
        df_scores = pd.io.json.json_normalize(pd.DataFrame(df_scores.deliveries.tolist()).stack().tolist()).assign(team=df_scores.team,date=df_scores['info.dates'])
        all_score_list.append(df_scores)

df_all_scores=pd.concat(all_score_list)
df_all_scores.to_csv('final1.0Scores.csv')

我想在dataframe＆＃34; df_all_scores＆＃34;中添加date_column，其中数据列将从其他数据帧＆＃34; df_all_stats＆＃34;中获取。匹配文件中的两个局都应该有一个列日期。为了优化，我正在考虑合并这些或循环，然后从＆＃34; df_all_stats＆＃34;将日期列放入＆＃34; df_all_scores＆＃34;。

CSV文件在 https://drive.google.com/open?id=13MfFmlQFPo1Dl0ixA1mAkTliJOfqqOYH

IndexError：列出索引超出范围并从diffrent数据帧添加列

0 个答案: