From ba327a94971cc0b48966afd5330af53561e693f9 Mon Sep 17 00:00:00 2001
From: macondiano4ever <islen.vallejo@protonmail.com>
Date: Tue, 11 Apr 2023 15:13:54 +0200
Subject: [PATCH] Update README.md

---
 README.md | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/README.md b/README.md
index 3b226f5..cb34f89 100644
--- a/README.md
+++ b/README.md
@@ -5,11 +5,11 @@
 pip install -r requirements.txt
 ```
 
-Older versions of `pywavelet` were able to handle `discrete wavelet transform` using the `cwt()` function mean for 
+Older versions of `pywavelet` were able to handle `discrete wavelet transform` using the `cwt()` function meant for 
 continuous wavelets. To get `pywavelet` library working with the (discrete) `haar` wavelet we need to make two small 
-modifications to the source of the `pywavelet` library. To do so, locate the installation directory: Let's say 
-`<some_path>/lib/python3.10/site-packages/pywt`. Open the `/_cwt.py` module. Replace the line 
-`dt_out = dt_cplx if wavelet.complex_cwt else dt` by `dt_out = dt` and comment 
+modifications to the source of the `pywavelet` library. Let's sayt that the installation directory is `<some_path>/lib/python3.10/site-packages/pywt`. 
+Open the `/_cwt.py` module. 1. Replace the line 
+`dt_out = dt_cplx if wavelet.complex_cwt else dt` by `dt_out = dt` and 2. comment 
 `int_psi = np.conj(int_psi) if wavelet.complex_cwt else int_psi`.
 
 Clone the develop branch 
-- 
GitLab