getting df correctly (#40)

- getting df correctly (b2c3525a9f4f00c6fbaa0d9add03c139188e8442)

app.py

@@ -77,17 +77,26 @@ st.text('Chart A Future Edits: Order bars by mean YTD Gross, Make all position t
 #im just going to relaod the data frame in to clean up the text on the bottomo charts
 df_j = pd.read_csv('State_Employee_Pay.csv')
 
+
 df_jcopy = df_j.copy()
-df['Period Pay Rate'] = df['Period Pay Rate'].str.replace(",", "")
-df['YTD Gross'] = df['YTD Gross'].str.replace(",", "")
-df['Period Pay Rate'] = df['Period Pay Rate'].astype(int)
-df['YTD Gross'] = df['YTD Gross'].astype(int)
-df = df.dropna()
-df = df[df['YTD Gross']!= 0]
-# df['Agency'] = df['Agency'].str.lower()
-# df['Agency Division'] = df['Agency Division'].str.lower()
-# df['Employee Name'] = df['Employee Name'].str.lower()
-# df['Position Title'] = df['Position Title'].str.lower()
+
+
+df_jcopy['Period Pay Rate'] = df_jcopy['Period Pay Rate'].str.replace(",", "").astype(int)
+df_jcopy['YTD Gross'] = df_jcopy['YTD Gross'].str.replace(",", "").astype(int)
+
+
+df_jcopy = df_jcopy.dropna()
+df_jcopy = df_jcopy[df_jcopy['YTD Gross'] != 0]
+
+
+df_jcopy['Agency'] = df_jcopy['Agency'].str.lower()
+df_jcopy['Agency Division'] = df_jcopy['Agency Division'].str.lower()
+df_jcopy['Employee Name'] = df_jcopy['Employee Name'].str.lower()
+df_jcopy['Position Title'] = df_jcopy['Position Title'].str.lower()
+
+
+df_jcopy.columns = df_jcopy.columns.str.strip()
+
 
 import altair as alt
 import pandas as pd