load csv file using pandas
import pandas as pd df = pd.read_csv (r'Path where the CSV file is storedFile name.csv') print (df)
load csv file using pandas
import pandas as pd df = pd.read_csv (r'Path where the CSV file is storedFile name.csv') print (df)
update csv file in python using pandas
I was able to get the desired data frame. import pandas as pd import numpy as np df1 = pd.read_csv('\dir\test1.csv', index_col=0) df2 = pd.read_csv('\dir\test2.csv', index_col=0) new_index = list(set(list(df1.index.values)+list(df2.index.values))) df2 = df2.reindex(new_index) df2 = df2.join(df1, rsuffix='_P') df2 = df2.loc[:,~df2.columns.str.endswith('_P')].fillna(df1).fillna(0) df2.sort_index(inplace=True) print df2.to_string() col2 col3 col4 col1 test1 8 7 15 11 test3 5 9 10 9 test5 9 -1 0 12 test7 1 4 9 0 test9 11 10 12 0
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