Python Sklearn Fit Method Not Working

I'm working on a project using Python(3.6) and Sklearn.I have done classifications but when I try to apply it for reshaping in order to use it with fit method of sklearn it returns

Solution 1:

We can convert out dataset to numeric data values on the base of their uniqueness and you can also drop un-necessary columns form the dataset.

Here's how you can try that:

df_full = pd.read_excel('input/samp.xlsx', sheet_name=0,)
df_full = df_full[df_full.filter(regex='^(?!Unnamed)').columns]
df_full.drop(['paymentdetails',], 1, inplace=True)
df_full.drop(['timestamp'], 1, inplace=True)
# Handle non numaric datadefhandle_non_numaric_data(df_full):
    columns = df_full.columns.values

    for column in columns:
        text_digit_vals = {}
        defconvert_to_int(val):
            return text_digit_vals[val]

        if df_full[column].dtype != np.int64 and df_full[column].dtype != np.float64:
            column_contents = df_full[column].values.tolist()
            unique_elements = set(column_contents)
            x = 0for unique in unique_elements:
                if unique notin text_digit_vals:
                    text_digit_vals[unique] = x
                    x+=1

            df_full[column] = list(map(convert_to_int, df_full[column]))

    return df_full