def test_with_data_source(mpg_df):
from pandas_visual_analysis import VisualAnalysis, DataSource
df = mpg_df
ds = DataSource(df)
VisualAnalysis(ds)
def test_with_cat_cols(mpg_df):
from pandas_visual_analysis import VisualAnalysis
df = mpg_df
VisualAnalysis(
df, categorical_columns=["name", "origin", "model_year", "cylinders"])
def test_visual_analysis_alpha(mpg_df):
from pandas_visual_analysis import VisualAnalysis
VisualAnalysis(mpg_df,
select_color="#323EEC",
deselect_color="#8A8C93",
alpha=0.75)
def test_visual_analysis_row_height_list(mpg_df):
from pandas_visual_analysis import VisualAnalysis
VisualAnalysis(
mpg_df,
layout=[["Scatter", "Scatter"], ["ParallelCoordinates"]],
row_height=[200, 300],
)
def test_visual_analysis_color_value_error(self, small_df):
with pytest.raises(ValueError):
VisualAnalysis(small_df, select_color=(500, 0, 0))
def test_visual_analysis_object_creation_deselect_color_type_error(
self, small_df):
with pytest.raises(TypeError):
VisualAnalysis(small_df, deselect_color=set([0, 0, 0]))
def test_visual_analysis_object_creation_color_error2(self, small_df):
with pytest.raises(ValueError):
VisualAnalysis(small_df, select_color="#asdfasdfa")
def test_visual_analysis_row_height(mpg_df):
from pandas_visual_analysis import VisualAnalysis
VisualAnalysis(mpg_df, row_height=300)
def test_ipython_display(self, small_df):
va = VisualAnalysis(small_df)
va._ipython_display_()
def test_visual_analysis_sample_number_neg_error(self, int_df):
with pytest.raises(ValueError):
VisualAnalysis(int_df, sample=-100)
def test_visual_analysis_sample_input_error(self, int_df):
with pytest.raises(TypeError):
VisualAnalysis(int_df, sample="asdfa")
def test_visual_analysis_object_creation_non_int_index(
self, small_df_index):
assert VisualAnalysis(small_df_index)
def test_init_with_data_source(self, small_df):
ds = DataSource(small_df, None)
assert VisualAnalysis(data=ds)
def test_visual_analysis_row_height_neg_error(self, small_df):
with pytest.raises(ValueError):
VisualAnalysis(small_df, row_height=-10)
def test_visual_analysis_object_creation(self, small_df):
assert VisualAnalysis(small_df)
def test_visual_analysis_row_height_type_error(self, small_df):
with pytest.raises(TypeError):
VisualAnalysis(small_df, row_height="100px")
def test_warn_cat_cols(self, small_df):
small_df.drop(columns=["b"], inplace=True)
with pytest.warns(UserWarning):
VisualAnalysis(small_df, layout=[["ParallelCategories"]])
def test_visual_analysis_warn_num_cols(self, small_df):
small_df.drop(columns=["c"], inplace=True)
with pytest.warns(UserWarning):
VisualAnalysis(small_df, layout=[["ParallelCoordinates"]])
def test_visual_analysis_object_creation_alpha_type_error(self, small_df):
with pytest.raises(TypeError):
VisualAnalysis(small_df, alpha=[0.5])
def test_data_type_error(self):
with pytest.raises(TypeError):
VisualAnalysis(data=[1, 2, 3])
def test_visual_analysis_alpha_error(self, small_df):
with pytest.raises(ValueError):
VisualAnalysis(small_df, alpha=1.4)
def test_visual_analysis_sample(mpg_df):
from pandas_visual_analysis import VisualAnalysis
va = VisualAnalysis(mpg_df, sample=100)
assert len(va.data_source) == 100
def test_default(mpg_df):
from pandas_visual_analysis import VisualAnalysis
df = mpg_df
VisualAnalysis(df)
df.isnull().sum() # In[14]: df_Train =df # # Data Analysis - Visualization and Exploration # In[15]: VisualAnalysis(df_Train) ##Interactive Dashboard #Each Metric can be used to select the required # In[16]: for indx in ['Income_of_Applicant', 'Income_of_Joint_Applicant', 'Loan_Amount_Requirement']: sns.boxplot(df_Train[indx].dropna(),orient='a') plt.title(indx) plt.show() # # Dealing with missing value # In[17]:
def test_visual_analysis_sample_frac_large_error(self, int_df):
with pytest.raises(ValueError):
VisualAnalysis(int_df, sample=10.4)
def test_visual_analysis_object_creation_color_high_value_error(
self, small_df):
with pytest.raises(ValueError):
VisualAnalysis(small_df, deselect_color=(0, 0, 500))
def test_visual_analysis_color_tuple(self, small_df):
assert VisualAnalysis(small_df, select_color=(12, 12, 12))
def test_visual_analysis_display_system(self, int_df):
va = VisualAnalysis(int_df, [["Scatter"]])
from IPython.core.display import display
display((va, ))
def test_visual_analysis_object_creation_color(self, small_df):
assert VisualAnalysis(small_df,
select_color="#ffffff",
deselect_color=(0, 0, 0))
def test_widget_class_registry_normal_behaviour():
small_df = sample_dataframes.small_df()
VisualAnalysis(small_df)
assert len(WidgetClassRegistry().widget_list) > 0