forked from pandas-dev/pandas
-
Notifications
You must be signed in to change notification settings - Fork 3
/
Copy pathtest_eng_formatting.py
248 lines (222 loc) · 8.26 KB
/
test_eng_formatting.py
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
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
import numpy as np
from pandas import DataFrame
import pandas._testing as tm
import pandas.io.formats.format as fmt
class TestEngFormatter:
def test_eng_float_formatter2(self, float_frame):
df = float_frame
df.loc[5] = 0
fmt.set_eng_float_format()
repr(df)
fmt.set_eng_float_format(use_eng_prefix=True)
repr(df)
fmt.set_eng_float_format(accuracy=0)
repr(df)
tm.reset_display_options()
def test_eng_float_formatter(self):
df = DataFrame({"A": [1.41, 141.0, 14100, 1410000.0]})
fmt.set_eng_float_format()
result = df.to_string()
expected = (
" A\n"
"0 1.410E+00\n"
"1 141.000E+00\n"
"2 14.100E+03\n"
"3 1.410E+06"
)
assert result == expected
fmt.set_eng_float_format(use_eng_prefix=True)
result = df.to_string()
expected = " A\n0 1.410\n1 141.000\n2 14.100k\n3 1.410M"
assert result == expected
fmt.set_eng_float_format(accuracy=0)
result = df.to_string()
expected = " A\n0 1E+00\n1 141E+00\n2 14E+03\n3 1E+06"
assert result == expected
tm.reset_display_options()
def compare(self, formatter, input, output):
formatted_input = formatter(input)
assert formatted_input == output
def compare_all(self, formatter, in_out):
"""
Parameters:
-----------
formatter: EngFormatter under test
in_out: list of tuples. Each tuple = (number, expected_formatting)
It is tested if 'formatter(number) == expected_formatting'.
*number* should be >= 0 because formatter(-number) == fmt is also
tested. *fmt* is derived from *expected_formatting*
"""
for input, output in in_out:
self.compare(formatter, input, output)
self.compare(formatter, -input, "-" + output[1:])
def test_exponents_with_eng_prefix(self):
formatter = fmt.EngFormatter(accuracy=3, use_eng_prefix=True)
f = np.sqrt(2)
in_out = [
(f * 10**-24, " 1.414y"),
(f * 10**-23, " 14.142y"),
(f * 10**-22, " 141.421y"),
(f * 10**-21, " 1.414z"),
(f * 10**-20, " 14.142z"),
(f * 10**-19, " 141.421z"),
(f * 10**-18, " 1.414a"),
(f * 10**-17, " 14.142a"),
(f * 10**-16, " 141.421a"),
(f * 10**-15, " 1.414f"),
(f * 10**-14, " 14.142f"),
(f * 10**-13, " 141.421f"),
(f * 10**-12, " 1.414p"),
(f * 10**-11, " 14.142p"),
(f * 10**-10, " 141.421p"),
(f * 10**-9, " 1.414n"),
(f * 10**-8, " 14.142n"),
(f * 10**-7, " 141.421n"),
(f * 10**-6, " 1.414u"),
(f * 10**-5, " 14.142u"),
(f * 10**-4, " 141.421u"),
(f * 10**-3, " 1.414m"),
(f * 10**-2, " 14.142m"),
(f * 10**-1, " 141.421m"),
(f * 10**0, " 1.414"),
(f * 10**1, " 14.142"),
(f * 10**2, " 141.421"),
(f * 10**3, " 1.414k"),
(f * 10**4, " 14.142k"),
(f * 10**5, " 141.421k"),
(f * 10**6, " 1.414M"),
(f * 10**7, " 14.142M"),
(f * 10**8, " 141.421M"),
(f * 10**9, " 1.414G"),
(f * 10**10, " 14.142G"),
(f * 10**11, " 141.421G"),
(f * 10**12, " 1.414T"),
(f * 10**13, " 14.142T"),
(f * 10**14, " 141.421T"),
(f * 10**15, " 1.414P"),
(f * 10**16, " 14.142P"),
(f * 10**17, " 141.421P"),
(f * 10**18, " 1.414E"),
(f * 10**19, " 14.142E"),
(f * 10**20, " 141.421E"),
(f * 10**21, " 1.414Z"),
(f * 10**22, " 14.142Z"),
(f * 10**23, " 141.421Z"),
(f * 10**24, " 1.414Y"),
(f * 10**25, " 14.142Y"),
(f * 10**26, " 141.421Y"),
]
self.compare_all(formatter, in_out)
def test_exponents_without_eng_prefix(self):
formatter = fmt.EngFormatter(accuracy=4, use_eng_prefix=False)
f = np.pi
in_out = [
(f * 10**-24, " 3.1416E-24"),
(f * 10**-23, " 31.4159E-24"),
(f * 10**-22, " 314.1593E-24"),
(f * 10**-21, " 3.1416E-21"),
(f * 10**-20, " 31.4159E-21"),
(f * 10**-19, " 314.1593E-21"),
(f * 10**-18, " 3.1416E-18"),
(f * 10**-17, " 31.4159E-18"),
(f * 10**-16, " 314.1593E-18"),
(f * 10**-15, " 3.1416E-15"),
(f * 10**-14, " 31.4159E-15"),
(f * 10**-13, " 314.1593E-15"),
(f * 10**-12, " 3.1416E-12"),
(f * 10**-11, " 31.4159E-12"),
(f * 10**-10, " 314.1593E-12"),
(f * 10**-9, " 3.1416E-09"),
(f * 10**-8, " 31.4159E-09"),
(f * 10**-7, " 314.1593E-09"),
(f * 10**-6, " 3.1416E-06"),
(f * 10**-5, " 31.4159E-06"),
(f * 10**-4, " 314.1593E-06"),
(f * 10**-3, " 3.1416E-03"),
(f * 10**-2, " 31.4159E-03"),
(f * 10**-1, " 314.1593E-03"),
(f * 10**0, " 3.1416E+00"),
(f * 10**1, " 31.4159E+00"),
(f * 10**2, " 314.1593E+00"),
(f * 10**3, " 3.1416E+03"),
(f * 10**4, " 31.4159E+03"),
(f * 10**5, " 314.1593E+03"),
(f * 10**6, " 3.1416E+06"),
(f * 10**7, " 31.4159E+06"),
(f * 10**8, " 314.1593E+06"),
(f * 10**9, " 3.1416E+09"),
(f * 10**10, " 31.4159E+09"),
(f * 10**11, " 314.1593E+09"),
(f * 10**12, " 3.1416E+12"),
(f * 10**13, " 31.4159E+12"),
(f * 10**14, " 314.1593E+12"),
(f * 10**15, " 3.1416E+15"),
(f * 10**16, " 31.4159E+15"),
(f * 10**17, " 314.1593E+15"),
(f * 10**18, " 3.1416E+18"),
(f * 10**19, " 31.4159E+18"),
(f * 10**20, " 314.1593E+18"),
(f * 10**21, " 3.1416E+21"),
(f * 10**22, " 31.4159E+21"),
(f * 10**23, " 314.1593E+21"),
(f * 10**24, " 3.1416E+24"),
(f * 10**25, " 31.4159E+24"),
(f * 10**26, " 314.1593E+24"),
]
self.compare_all(formatter, in_out)
def test_rounding(self):
formatter = fmt.EngFormatter(accuracy=3, use_eng_prefix=True)
in_out = [
(5.55555, " 5.556"),
(55.5555, " 55.556"),
(555.555, " 555.555"),
(5555.55, " 5.556k"),
(55555.5, " 55.556k"),
(555555, " 555.555k"),
]
self.compare_all(formatter, in_out)
formatter = fmt.EngFormatter(accuracy=1, use_eng_prefix=True)
in_out = [
(5.55555, " 5.6"),
(55.5555, " 55.6"),
(555.555, " 555.6"),
(5555.55, " 5.6k"),
(55555.5, " 55.6k"),
(555555, " 555.6k"),
]
self.compare_all(formatter, in_out)
formatter = fmt.EngFormatter(accuracy=0, use_eng_prefix=True)
in_out = [
(5.55555, " 6"),
(55.5555, " 56"),
(555.555, " 556"),
(5555.55, " 6k"),
(55555.5, " 56k"),
(555555, " 556k"),
]
self.compare_all(formatter, in_out)
formatter = fmt.EngFormatter(accuracy=3, use_eng_prefix=True)
result = formatter(0)
assert result == " 0.000"
def test_nan(self):
# Issue #11981
formatter = fmt.EngFormatter(accuracy=1, use_eng_prefix=True)
result = formatter(np.nan)
assert result == "NaN"
df = DataFrame(
{
"a": [1.5, 10.3, 20.5],
"b": [50.3, 60.67, 70.12],
"c": [100.2, 101.33, 120.33],
}
)
pt = df.pivot_table(values="a", index="b", columns="c")
fmt.set_eng_float_format(accuracy=1)
result = pt.to_string()
assert "NaN" in result
tm.reset_display_options()
def test_inf(self):
# Issue #11981
formatter = fmt.EngFormatter(accuracy=1, use_eng_prefix=True)
result = formatter(np.inf)
assert result == "inf"