使用Python将多个CSV文件合并为一个文件,并在最终的CSV文件中创建超级模式可以通过以下步骤实现:
import os
import glob
import pandas as pd
def merge_csv_files(input_folder, output_file):
all_files = glob.glob(os.path.join(input_folder, "*.csv"))
df_list = []
for file in all_files:
df = pd.read_csv(file)
df_list.append(df)
merged_df = pd.concat(df_list, ignore_index=True)
merged_df.to_csv(output_file, index=False)
input_folder = "输入文件夹路径"
output_file = "输出文件路径"
merge_csv_files(input_folder, output_file)
super_mode = ["列1名称", "列2名称", "列3名称"] # 替换为实际的列名称
with open(output_file, 'r+') as f:
content = f.read()
f.seek(0, 0)
f.write(','.join(super_mode) + '\n' + content)
完整的Python代码如下:
import os
import glob
import pandas as pd
def merge_csv_files(input_folder, output_file):
all_files = glob.glob(os.path.join(input_folder, "*.csv"))
df_list = []
for file in all_files:
df = pd.read_csv(file)
df_list.append(df)
merged_df = pd.concat(df_list, ignore_index=True)
merged_df.to_csv(output_file, index=False)
input_folder = "输入文件夹路径"
output_file = "输出文件路径"
merge_csv_files(input_folder, output_file)
super_mode = ["列1名称", "列2名称", "列3名称"] # 替换为实际的列名称
with open(output_file, 'r+') as f:
content = f.read()
f.seek(0, 0)
f.write(','.join(super_mode) + '\n' + content)
请注意,上述代码中的"输入文件夹路径"和"输出文件路径"需要根据实际情况进行替换。此外,还需要确保已安装pandas库(可通过pip install pandas
进行安装)。
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