Newer
Older
Matthew K Defenderfer
committed
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
from plotly.graph_objects import Figure
import plotly.graph_objects as go
from plotly import colors
__all__ = ['bar_plot','pareto_chart']
def choose_appropriate_storage_unit(size,starting_unit='B'):
if hasattr(size, "__len__"):
size = size.max()
try:
units = ['B','kiB','MiB','GiB','TiB']
units_b10 = ['kB','MB','GB','TB']
if starting_unit in units_b10:
starting_unit = starting_unit.replace('B','iB')
# add logging message here saying the specified base 10 unit is being interpreted as base 2
exp = units.index(starting_unit)
except (ValueError):
raise(f"{starting_unit} is not a valid storage unit. Choose from 'B','kB','MB','GB', or 'TB'")
while ((size/1024) >= 1) & (exp <= 4):
size = size/1024
exp += 1
return exp,units[exp]
def _format_number(num,dec=2):
return f"{num:,.{dec}f}" # Format with commas and 3 decimal places
def bar_plot(df,x,y,show_legend=True,legend_labels=None,add_text=True,textposition=None,text_decimals=2,
group_colors=colors.qualitative.Plotly,title=None,xlabel=None,ylabel=None,enable_text_hover=False) -> Figure:
if not isinstance(y,list):
y = [y]
if show_legend and legend_labels is None:
legend_labels = y
textposition = textposition if add_text else None
fig = go.Figure()
for idx,c in enumerate(y):
text = df[c].apply(_format_number,dec=text_decimals) if add_text else None
fig.add_bar(
x=df[x],
y=df[c],
text=text,
textposition=textposition,
name=legend_labels[idx],
marker_color=group_colors[idx],
uid=idx
)
# If plotting multiple traces, make some updates to the layout
if len(y) > 1:
for idx in range(len(y)):
fig.update_traces(
patch = {'offsetgroup':idx},
selector = {'uid':idx}
)
fig.update_layout(
barmode='group', # Grouped bar chart
bargap=0.3
)
fig.update_layout(
title_text=title,
title_x=0.5,
title_xanchor='center',
title_font_size = 24,
xaxis_title=xlabel,
yaxis_title=ylabel,
margin=dict(t=100, b=20, l=40, r=40),
template='plotly_white',
hovermode=enable_text_hover
)
return fig
def pareto_chart(df, x, y, cumsum_col=None, show_legend=True, legend_labels=['Raw','Cumulative'], add_text=True,
textposition_bar=None, textposition_scatter=None, text_decimals=2,
group_colors=colors.qualitative.Plotly, title=None,xlabel=None,ylabel=None,enable_text_hover=False) -> Figure:
df_ = df.copy()
if cumsum_col is None:
cumsum_col = f'{y}_cumsum'
df_[cumsum_col] = df_[y].cumsum()
if show_legend and legend_labels is None:
legend_labels = [y,cumsum_col]
if add_text and textposition_bar is None:
textposition_bar = 'outside'
if add_text and textposition_scatter is None:
textposition_scatter = 'top center'
fig = go.Figure()
bar_text = df_[y].apply(_format_number,dec=text_decimals) if add_text else None
fig.add_bar(
x=df_[x],
y=df_[y],
text=bar_text,
textposition=textposition_bar,
name=legend_labels[0],
marker_color=group_colors[0]
)
if add_text:
scatter_text = df_[cumsum_col].apply(_format_number,dec=text_decimals)
scatter_text[0] = None
else:
scatter_text = None
fig.add_scatter(
x=df_[x],
y=df_[cumsum_col],
text=scatter_text,
textposition=textposition_scatter,
name=legend_labels[1],
mode='lines+markers+text',
marker_color=group_colors[1]
)
fig.update_layout(
title_text=title,
title_x=0.5,
title_xanchor='center',
title_font_size = 24,
xaxis_title=xlabel,
yaxis_title=ylabel,
margin=dict(t=100, b=20, l=40, r=40),
template='plotly_white',
hovermode=enable_text_hover
)
return fig