changelog update + version bump

Author: ranaroussi

CHANGELOG.rst

@@ -1,6 +1,10 @@
 Change Log
 ===========
 
+0.1.58
+------
+- Allow specifying a custom requests session instance
+
 0.1.57
 ------
 - Added Conversion rate hint using 'financialCurrency' property in earnings

README.rst

@@ -149,6 +149,18 @@ If you want to use a proxy server for downloading data, use:
     msft.option_chain(..., proxy="PROXY_SERVER")
     ...
 
+To use a custom ``requests`` session (for example to cache calls to the API
+or customize the ``User-agent`` header), pass a ``session=`` argument to the
+Ticker constructor:
+
+.. code:: python
+    import requests_cache
+    session = requests_cache.CachedSession('yfinance.cache')
+    session.headers['User-agent'] = 'my-program/1.0'
+    ticker = yf.Ticker('msft aapl goog', session=session)
+    # The scraped response will be stored in the cache
+    ticker.actions
+
 To initialize multiple ``Ticker`` objects, use
 
 .. code:: python
@@ -221,7 +233,7 @@ The following answer on Stack Overflow is for `How to deal with multi-level colu
 * ``yfinance`` returns a ``pandas.DataFrame`` with multi-level column names, with a level for the ticker and a level for the stock price data
 
   * The answer discusses:
-  
+
     * How to correctly read the the multi-level columns after saving the dataframe to a csv with ``pandas.DataFrame.to_csv``
     * How to download single or multiple tickers into a single dataframe with single level column names and a ticker column
 

meta.yaml

@@ -1,13 +1,13 @@
 {% set name = "yfinance" %}
-{% set version = "0.1.55" %}
+{% set version = "0.1.57" %}
 
 package:
   name: "{{ name|lower }}"
   version: "{{ version }}"
 
 source:
   url: "https://pypi.io/packages/source/{{ name[0] }}/{{ name }}/{{ name }}-{{ version }}.tar.gz"
-  sha256: "65d39bccf16bef35f6a08bf0df33650c0515b5ce8ea3c53924601f5fe00590cb"
+  sha256: "90ea05e08d2760918c227ec9c2a429a444353c7f8ff3340f2166a5c4678feec4"
 
 build:
   noarch: python
@@ -16,18 +16,21 @@ build:
 
 requirements:
   host:
+    - pandas >=0.24.0
+    - numpy >=1.16.5
+    - requests >=2.21
     - multitasking >=0.0.7
-    - numpy >=1.15
-    - pandas >=0.24
+    - lxml >=4.5.1
     - pip
     - python
-    - requests >=2.20
+
   run:
+    - pandas >=0.24.0
+    - numpy >=1.16.5
+    - requests >=2.21
     - multitasking >=0.0.7
-    - numpy >=1.15
-    - pandas >=0.24
+    - lxml >=4.5.1
     - python
-    - requests >=2.20
 
 test:
   imports:

yfinance/version.py

@@ -1 +1 @@
-version = "0.1.57"
+version = "0.1.58"