Packagify pulkka

Makefile

@@ -7,16 +7,16 @@ copy-raw-data: all-data
 	cp data/results.tsv out/raw.tsv
 
 copy-massaged-data: all-data
-	python copy_massaged_data.py
+	python -m pulkka.copy_massaged_data
 
 static: all-data
-	python massage_templates.py
+	python -m pulkka.massage_templates
 
 charts: all-data
-	python generate_charts.py
+	python -m pulkka.generate_charts
 
 profiling: all-data
-	python generate_profiling.py
+	python -m pulkka.generate_profiling
 
 all-data: data/results.xlsx data/results.tsv
 

pulkka/chart_utils.py

@@ -2,7 +2,7 @@ from bokeh import models as bm, plotting as bp
 from bokeh.transform import factor_cmap
 from pandas import DataFrame
 
-from data_utils import get_categorical_stats
+from pulkka.data_utils import get_categorical_stats
 
 CAT_Q_RADIUS = 0.1
 

pulkka/copy_massaged_data.py

@@ -1,4 +1,4 @@
-from data_ingest import read_data
+from pulkka.data_ingest import read_data
 
 
 def main():

pulkka/generate_charts.py

@@ -3,13 +3,13 @@ import bokeh.models as bm
 import bokeh.layouts as bl
 from pandas import DataFrame
 
-from chart_utils import (
+from pulkka.chart_utils import (
     gender_colormap,
     get_df_hover_tool,
     set_yaxis_cash,
     get_categorical_stats_plot,
 )
-from data_ingest import read_data
+from pulkka.data_ingest import read_data
 
 plot_funcs = set()
 

pulkka/generate_profiling.py

@@ -1,4 +1,4 @@
-from data_ingest import read_data, force_tulot_numeric, force_age_numeric
+from pulkka.data_ingest import read_data, force_tulot_numeric, force_age_numeric
 from pandas_profiling import ProfileReport
 
 

pulkka/massage_templates.py

@@ -6,7 +6,7 @@ import jinja2
 import numpy
 import pandas
 
-from data_ingest import read_data
+from pulkka.data_ingest import read_data
 
 
 def main():