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import pandas as pd
# Replace 'file_path' with the actual path of the CSV file
data = pd.read_csv('file_path')
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import pandas as pd
# Read file and set row number(s) to use as the column name(s)
df = pd.read_csv('file.csv', header = 0)
# Display DataFrame
print(df)
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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))
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import pandas as pd
df = pd.read_csv('../examples/example_wp_log_peyton_manning.csv')
df.head()
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import pandas as pd
# Read the CSV file
data = pd.read_csv('file.csv')
# Display the contents of the CSV file
print(data)
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import pandas as pd
# Read a CSV file and store it in a DataFrame
data = pd.read_csv('file.csv')
# Print the data to verify if it is read successfully
print(data)
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you should be in the same dir as .py file
df = pd.read_csv('your_file_name.csv')
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import pandas as pd
df = pd.read_csv('sample.csv')
print(df)