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 pandas into csv
df.to_csv(r'Path where you want to store the exported CSV file\File Name.csv', index = False)
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)
pandas read csv
import pandas as pd
cereal_df = pd.read_csv("/tmp/tmp07wuam09/data/cereal.csv")
cereal_df2 = pd.read_csv("data/cereal.csv")
# Are they the same?
print(pd.DataFrame.equals(cereal_df, cereal_df2))
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
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