import pandas as pd
import numpy as np

df=pd.read_csv("table_1_raw.csv", header=None)
df.values.shape
df2=pd.DataFrame(df.values.reshape(25,10))
column_names=df2[0:1].values[0]
df3=df2[1:]
df3.columns = df2[0:1].values[0]
df3.head()

df4['x5']=list(map(lambda x: x[:-1], df4['x5'].values))
df4['x6']=list(map(lambda x: x[:-1], df4['x6'].values))
df4['x7']=list(map(lambda x: x[:-1], df4['x7'].values))

df4['x5']=[float(x) for x in df4['x5'].values]
df4['x6']=[float(x) for x in df4['x6'].values]
df4['x7']=[float(x) for x in df4['x7'].values]

df4.head(n=5)

df4.to_csv('table_1_final.csv',index=False)