From 2c1b57e4974d5ece91dedc143fff6a038daf02b8 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Jure=20=C5=A0orn?= <sornjure@gmail.com>
Date: Mon, 28 Jan 2019 08:56:23 +0100
Subject: [PATCH] Sequence and numpy
---
README.md | 28 ++++++++++++++++++++++------
1 file changed, 22 insertions(+), 6 deletions(-)
diff --git a/README.md b/README.md
index 25c663b..b1d96e6 100644
--- a/README.md
+++ b/README.md
@@ -635,6 +635,20 @@ class Employee(Person):
self.staff_num = staff_num
```
+### Sequence
+```python
+class <name>:
+ def __init__(self, seq):
+ self.seq = seq
+ def __len__(self):
+ return len(self.seq)
+ def __getitem__(self, i):
+ return self.seq[i]
+ def __iter__(self):
+ for el in self.seq:
+ yield el
+```
+
### Copy
```python
from copy import copy, deepcopy
@@ -1321,7 +1335,7 @@ Table
# $ pip3 install tabulate
from csv import reader
from tabulate import tabulate
-with open(<filename>, newline='') as csv_file:
+with open(<filename>, encoding='utf-8', newline='') as csv_file:
reader = reader(csv_file, delimiter=';')
headers = [a.title() for a in next(reader)]
print(tabulate(reader, headers))
@@ -1544,14 +1558,16 @@ import numpy as np
```
```python
-value = <array>.min([axis])
-index = <array>.argmin([axis])
+first_column = <array>[:, 0] # Or: <array>[..., 0]
+value = <array>.min([axis])
+index = <array>.argmin([axis])
```
```python
-<view> = <array>.reshape(<shape>)
-<view> = np.broadcast_to(<array>, <shape>)
-<array> = <array>[filter_expression]
+<array>.shape = <shape>
+<view> = <array>.reshape(<shape>)
+<view> = np.broadcast_to(<array>, <shape>)
+<el_or_array> = <array>[filter_expression]
```
### Broadcasting