write dataframe to csv
df.to_csv(r'/directory/path/file_name.csv', index = False, header = True)
write dataframe to csv
df.to_csv(r'/directory/path/file_name.csv', index = False, header = True)
save dataframe to csv
df.to_csv(file_name, sep='\t')
how to set up dataframe from csv
import pandas as pd
column_names = ['sepel lengh', 'sepel width', 'petal lengh', 'petal width', 'class']
iris = pd.read_csv('iris.csv', names=column_names)
print(iris)
convert csv to pandas dataframe
import pandas as pd
df = pd.read_csv("sample_data.csv")
# .csv file format
column1,column2
1,2
3,4
5,6
# pandas dataframe
column1 column2
0 1 2
1 3 4
2 5 6
Dataframe to CSV
df.to_csv(file_name, sep='\t', encoding='utf-8')
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