azizalto commited on
Commit
f91e168
·
1 Parent(s): 3e9035a

Update deprecated code

Browse files
Files changed (1) hide show
  1. app.py +14 -12
app.py CHANGED
@@ -15,8 +15,10 @@ st.set_page_config(page_title="PySQLify", page_icon="🔎", layout="wide")
15
  st.title("PySQLify")
16
  st.write("_Data Analysis_ Tool")
17
 
 
 
18
 
19
- @st.experimental_memo
20
  def _read_csv(f, **kwargs):
21
  df = pd.read_csv(f, on_bad_lines="skip", **kwargs)
22
  # clean
@@ -79,8 +81,8 @@ def display(df):
79
  types_ = df.dtypes.to_dict()
80
  types_ = [{"Column": c, "Type": t} for c, t in types_.items()]
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  df_ = pd.DataFrame(types_)
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- st.subheader("TABLE DETAILS")
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- st.write(df_)
84
 
85
 
86
  def code_editor(language, hint, show_panel, key=None):
@@ -123,7 +125,7 @@ def code_editor(language, hint, show_panel, key=None):
123
  return content
124
 
125
 
126
- @st.experimental_memo
127
  def query_data(sql, df):
128
  try:
129
  return duckdb.query(sql).df()
@@ -173,7 +175,7 @@ def run_python_script(user_script, key):
173
  st.exception(e)
174
 
175
 
176
- @st.experimental_singleton
177
  def data_profiler(df):
178
  return ProfileReport(df, title="Profiling Report")
179
 
@@ -266,12 +268,12 @@ if __name__ == "__main__":
266
  Describe the table:
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  DESCRIBE TABLE df
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  """
269
- number_cells = st.number_input("Number of SQL cells to use", value=1, max_value=40)
270
  for i in range(number_cells):
271
  col1, col2 = st.columns([2, 1])
272
  st.markdown("<br>", unsafe_allow_html=True)
273
  col1.write(f"> `IN[{i+1}]`")
274
- show_panel = col2.checkbox("Show cell config panel", key=f"sql{i}")
275
  key = f"sql{i}"
276
  sql = code_editor("sql", hint, show_panel=show_panel, key=key)
277
  if sql:
@@ -312,7 +314,7 @@ if __name__ == "__main__":
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  st.bar_chart(groups[i].mean())
313
  ```
314
  """
315
- number_cells = st.number_input("Number of Python cells to use", value=1, max_value=40, min_value=1, help=help)
316
  for i in range(number_cells):
317
  st.markdown("<br><br><br>", unsafe_allow_html=True)
318
  col1, col2 = st.columns([2, 1])
@@ -326,14 +328,14 @@ if __name__ == "__main__":
326
  run_python_script(user_script, key=f"{user_script}{i}")
327
 
328
 
329
- if st.checkbox("Show SQL cells", value=True):
330
  sql_cells(df)
331
- if st.checkbox("Show Python cells", value=True):
332
  python_cells()
333
 
334
- st.write("---")
335
 
336
- if st.checkbox("Generate Data Profile Report", help="pandas profiling, generated by [ydata-profiling](https://github.com/ydataai/ydata-profiling)"):
337
  st.write("---")
338
  st.header("Data Profiling")
339
  profile = data_profiler(df)
 
15
  st.title("PySQLify")
16
  st.write("_Data Analysis_ Tool")
17
 
18
+ p = st.write
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+ print = st.write
20
 
21
+ @st.cache_data
22
  def _read_csv(f, **kwargs):
23
  df = pd.read_csv(f, on_bad_lines="skip", **kwargs)
24
  # clean
 
81
  types_ = df.dtypes.to_dict()
82
  types_ = [{"Column": c, "Type": t} for c, t in types_.items()]
83
  df_ = pd.DataFrame(types_)
84
+ st.sidebar.subheader("TABLE DETAILS")
85
+ st.sidebar.write(df_)
86
 
87
 
88
  def code_editor(language, hint, show_panel, key=None):
 
125
  return content
126
 
127
 
128
+ @st.cache_data
129
  def query_data(sql, df):
130
  try:
131
  return duckdb.query(sql).df()
 
175
  st.exception(e)
176
 
177
 
178
+ @st.cache_resource
179
  def data_profiler(df):
180
  return ProfileReport(df, title="Profiling Report")
181
 
 
268
  Describe the table:
269
  DESCRIBE TABLE df
270
  """
271
+ number_cells = st.sidebar.number_input("Number of SQL cells to use", value=1, max_value=40)
272
  for i in range(number_cells):
273
  col1, col2 = st.columns([2, 1])
274
  st.markdown("<br>", unsafe_allow_html=True)
275
  col1.write(f"> `IN[{i+1}]`")
276
+ show_panel = col2.checkbox("Show cell config panel", key=f"sql_{i}")
277
  key = f"sql{i}"
278
  sql = code_editor("sql", hint, show_panel=show_panel, key=key)
279
  if sql:
 
314
  st.bar_chart(groups[i].mean())
315
  ```
316
  """
317
+ number_cells = st.sidebar.number_input("Number of Python cells to use", value=1, max_value=40, min_value=1, help=help)
318
  for i in range(number_cells):
319
  st.markdown("<br><br><br>", unsafe_allow_html=True)
320
  col1, col2 = st.columns([2, 1])
 
328
  run_python_script(user_script, key=f"{user_script}{i}")
329
 
330
 
331
+ if st.sidebar.checkbox("Show SQL cells", value=True):
332
  sql_cells(df)
333
+ if st.sidebar.checkbox("Show Python cells", value=True):
334
  python_cells()
335
 
336
+ st.sidebar.write("---")
337
 
338
+ if st.sidebar.checkbox("Generate Data Profile Report", help="pandas profiling, generated by [ydata-profiling](https://github.com/ydataai/ydata-profiling)"):
339
  st.write("---")
340
  st.header("Data Profiling")
341
  profile = data_profiler(df)