That's All?
So, seems like all the columns are fine now. Let's double-check if we have converted dates properly.
123456789101112131415# Loading the library import pandas as pd # Reading the data df = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/72be5dde-f3e6-4c40-8881-e1d97ae31287/shops_data3.csv') # Displaying first four dates before converting print(df['Date'].head(4)) # Change column type df['Date'] = pd.to_datetime(df['Date'], dayfirst = True) # Displaying first four dates and dtypes of dataframe print(df['Date'].head(4)) print(df.dtypes)
Yes, this time everything seems to be fine. Dtypes of the dataframe are appropriate, so we are ready to make some analysis and visualizing!
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Osio 2. Luku 6
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Completion rate improved to 3.45That's All?
Pyyhkäise näyttääksesi valikon
So, seems like all the columns are fine now. Let's double-check if we have converted dates properly.
123456789101112131415# Loading the library import pandas as pd # Reading the data df = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/72be5dde-f3e6-4c40-8881-e1d97ae31287/shops_data3.csv') # Displaying first four dates before converting print(df['Date'].head(4)) # Change column type df['Date'] = pd.to_datetime(df['Date'], dayfirst = True) # Displaying first four dates and dtypes of dataframe print(df['Date'].head(4)) print(df.dtypes)
Yes, this time everything seems to be fine. Dtypes of the dataframe are appropriate, so we are ready to make some analysis and visualizing!
Oliko kaikki selvää?
Kiitos palautteestasi!
Osio 2. Luku 6
