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4 Commits

Author SHA1 Message Date
rougier
6447594ad6 solutions update from 9642cab 2025-11-06 16:13:10 +00:00
Nicolas P. Rougier
9642cab77c
Merge pull request #249 from LegendTejas/fix-issue-247-ktx
Fix #247 : replaced deprecated np.int and corrected formatting in exercises100.ktx
2025-11-06 17:12:45 +01:00
Tejas Tp
4ccd5c0689
Format np.genfromtxt parameters for consistency 2025-11-06 18:49:43 +05:30
Tejas Tp
bfd5e4dbcb
Update np.genfromtxt to use int and filling_values
Changed dtype from np.int to int and added filling_values parameter.
2025-11-06 18:45:05 +05:30
5 changed files with 212 additions and 212 deletions

File diff suppressed because it is too large Load Diff

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@ -548,7 +548,7 @@ s = StringIO('''1, 2, 3, 4, 5
, , 9,10,11
''')
Z = np.genfromtxt(s, delimiter=",", dtype=np.int)
Z = np.genfromtxt(s, delimiter=",", dtype = int, filling_values = 0)
print(Z)
```
#### 55. What is the equivalent of enumerate for numpy arrays? (★★☆)

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@ -548,7 +548,7 @@ s = StringIO('''1, 2, 3, 4, 5
, , 9,10,11
''')
Z = np.genfromtxt(s, delimiter=",", dtype=np.int)
Z = np.genfromtxt(s, delimiter=",", dtype = int, filling_values = 0)
print(Z)
```
#### 55. What is the equivalent of enumerate for numpy arrays? (★★☆)

View File

@ -2,7 +2,7 @@
"cells": [
{
"cell_type": "markdown",
"id": "af9e3994",
"id": "21aee2db",
"metadata": {},
"source": [
"# 100 numpy exercises\n",
@ -18,7 +18,7 @@
},
{
"cell_type": "markdown",
"id": "76e99d49",
"id": "9ba95040",
"metadata": {},
"source": [
"File automatically generated. See the documentation to update questions/answers/hints programmatically."
@ -26,7 +26,7 @@
},
{
"cell_type": "markdown",
"id": "8a54b21a",
"id": "d2c26b77",
"metadata": {},
"source": [
"Run the `initialise.py` module, then call a random question with `pick()` an hint towards its solution with\n",
@ -36,7 +36,7 @@
{
"cell_type": "code",
"execution_count": null,
"id": "670bb646",
"id": "2fbe49f5",
"metadata": {},
"outputs": [],
"source": [
@ -46,7 +46,7 @@
{
"cell_type": "code",
"execution_count": null,
"id": "4ff49967",
"id": "8a120f51",
"metadata": {},
"outputs": [],
"source": [

View File

@ -696,7 +696,7 @@ s = StringIO('''1, 2, 3, 4, 5
, , 9,10,11
''')
Z = np.genfromtxt(s, delimiter=",", dtype=np.int)
Z = np.genfromtxt(s, delimiter=",", dtype = int, filling_values = 0)
print(Z)
< q55